Difference between revisions of "Contributions:HilbertSignalProcessing"

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==Synopsis==
 
==Synopsis==
  
 +
Apply a bandpass filter (FIR and/or IIR).  Then use HilbertFilter to compute either the Hilbert envelope or the instantaneous Hilbert phase. Finally, if desired, take the unwrapped derivative of the phase to obtain <math>2\pi \times</math> instantaneous frequency.
  
 
==Location==
 
==Location==
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===Source Code Revisions===
 
===Source Code Revisions===
*Initial development:
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*Initial development: 3896
*Tested under:  
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*Tested under: --
*Known to compile under:
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*Known to compile under: 3896
*Broken since:  
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*Broken since: --
  
 
==Description==
 
==Description==
  
Filters
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See the documentation for the individual filters in the chain:
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* [[User_Reference:SpatialFilter|SpatialFilter]]
 
* [[User_Reference:SpatialFilter|SpatialFilter]]
 
* [[Contributions:CustomIIRFilter|CustomIIRFilter]]
 
* [[Contributions:CustomIIRFilter|CustomIIRFilter]]

Latest revision as of 02:38, 27 March 2012

Synopsis

Apply a bandpass filter (FIR and/or IIR). Then use HilbertFilter to compute either the Hilbert envelope or the instantaneous Hilbert phase. Finally, if desired, take the unwrapped derivative of the phase to obtain 2\pi \times instantaneous frequency.

Location

http://www.bci2000.org/svn/trunk/src/contrib/SignalProcessing/HilbertSignalProcessing

Versioning

Authors

Cristhian Potes, Jeremy Hill

Source Code Revisions

  • Initial development: 3896
  • Tested under: --
  • Known to compile under: 3896
  • Broken since: --

Description

See the documentation for the individual filters in the chain:

See also

User Reference:Filters, Contributions:SignalProcessing